Run
10416306

Run 10416306

Task 15 (Supervised Classification) breast-w Uploaded 26-09-2019 by Heinrich Peters
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Flow

sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer, standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.cl asses.SVC)(2)Automatically created scikit-learn flow.
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)_memorynull
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)_steps[{"oml-python:serialized_object": "component_reference", "value": {"key": "simpleimputer", "step_name": "simpleimputer"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "standardscaler", "step_name": "standardscaler"}}, {"oml-python:serialized_object": "component_reference", "value": {"key": "svc", "step_name": "svc"}}]
sklearn.pipeline.Pipeline(simpleimputer=sklearn.impute._base.SimpleImputer,standardscaler=sklearn.preprocessing.data.StandardScaler,svc=sklearn.svm.classes.SVC)(2)_verbosefalse
sklearn.impute._base.SimpleImputer(3)_add_indicatorfalse
sklearn.impute._base.SimpleImputer(3)_copytrue
sklearn.impute._base.SimpleImputer(3)_fill_valuenull
sklearn.impute._base.SimpleImputer(3)_missing_valuesNaN
sklearn.impute._base.SimpleImputer(3)_strategy"median"
sklearn.impute._base.SimpleImputer(3)_verbose0
sklearn.preprocessing.data.StandardScaler(30)_copytrue
sklearn.preprocessing.data.StandardScaler(30)_with_meantrue
sklearn.preprocessing.data.StandardScaler(30)_with_stdtrue
sklearn.svm.classes.SVC(32)_C22461.119025907585
sklearn.svm.classes.SVC(32)_cache_size200
sklearn.svm.classes.SVC(32)_class_weightnull
sklearn.svm.classes.SVC(32)_coef0-0.5424800953743301
sklearn.svm.classes.SVC(32)_decision_function_shape"ovr"
sklearn.svm.classes.SVC(32)_degree2
sklearn.svm.classes.SVC(32)_gamma4.147016444636446
sklearn.svm.classes.SVC(32)_kernel"poly"
sklearn.svm.classes.SVC(32)_max_iter-1
sklearn.svm.classes.SVC(32)_probabilityfalse
sklearn.svm.classes.SVC(32)_random_state1
sklearn.svm.classes.SVC(32)_shrinkingtrue
sklearn.svm.classes.SVC(32)_tol0.001
sklearn.svm.classes.SVC(32)_verbosefalse

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

17 Evaluation measures

Area under ROC curve
0.6972 ± 0.0676
Per class
Cross-validation details (10-fold Crossvalidation)
F measure
0.7276 ± 0.0638
Per class
Cross-validation details (10-fold Crossvalidation)
Kappa
0.396 ± 0.1407
Cross-validation details (10-fold Crossvalidation)
KB relative information score
0.3725 ± 0.1492
Cross-validation details (10-fold Crossvalidation)
Mean absolute error
0.2718 ± 0.0646
Cross-validation details (10-fold Crossvalidation)
Mean prior absolute error
0.4519 ± 0.0014
Cross-validation details (10-fold Crossvalidation)
Number of instances
699
Per class
Cross-validation details (10-fold Crossvalidation)
Precision
0.7271 ± 0.0664
Per class
Cross-validation details (10-fold Crossvalidation)
Predictive accuracy
0.7282 ± 0.0646
Cross-validation details (10-fold Crossvalidation)
Prior entropy
0.9293 ± 0.0043
Cross-validation details (10-fold Crossvalidation)
Recall
0.7282 ± 0.0646
Per class
Cross-validation details (10-fold Crossvalidation)
Relative absolute error
0.6014 ± 0.143
Cross-validation details (10-fold Crossvalidation)
Root mean prior squared error
0.4753 ± 0.0015
Cross-validation details (10-fold Crossvalidation)
Root mean squared error
0.5214 ± 0.0652
Cross-validation details (10-fold Crossvalidation)
Root relative squared error
1.0969 ± 0.137
Cross-validation details (10-fold Crossvalidation)